Bandwidth, Power and Trajectory Optimization for UAV Base Station Networks with Backhaul and User QoS Constraints

• Published in: IEEE access Vol. 8; p. 1
• Main Authors: Huang, Yingqian, Cui, Miao, Zhang, Guangchi, Chen, Wei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; backhaul constraint; Bandwidth; bandwidth and power allocation; Base stations; Computer networks; Data links; Delay; Gateways; Quality of service; Quality of service architectures; Radio equipment; Spectrum allocation; Trajectory optimization; UAV base station; Unmanned aerial vehicles; User requirements
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.2986075

This paper considers an unmanned aerial vehicle (UAV) base station (BS) network with delay-sensitive users and delay-tolerant users on the ground, which have different quality-of-service (QoS) requirements. In the network, the backhaul link connecting the backhaul gateway and the UAV-BS shares the same spectrum with the data links connecting the UAV-BS and the users due to spectrum scarcity. To improve the rate performance of the delay-tolerant users and to guarantee the QoS of the delay-sensitive users, we aim to maximize the minimum rate of the delay-tolerant users by jointly optimizing the bandwidths of the backhaul link and the data links, the transmit power allocated to different users and the trajectory of the UAV-BS, subject to the constraints on UAV mobility, total bandwidth, total transmit power, backhaul data rate, and minimum rate requirements of the delay-sensitive users. Although the formulated problem is non-convex and difficult to solve optimally, we propose an efficient algorithm to find a suboptimal solution to it. Simulation results show that the proposed joint optimization algorithm achieves significantly higher minimum user rate than the benchmark schemes.